Standard 12-lead ecg signal reconstruction method

A signal reconstruction and electrical signal technology, applied in medical science, biological neural network models, sensors, etc., can solve problems such as poor accuracy, achieve high reconstruction accuracy, and optimize global search capabilities

Active Publication Date: 2015-03-25
杭州质子科技有限公司
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AI Technical Summary

Problems solved by technology

[0004] In order to overcome the shortcomings of the poor accuracy of the existing standard 12-lead ECG signal reconstruction method, the present invention provides a standard 12-lead ECG signal reconstruction method with high accuracy

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  • Standard 12-lead ecg signal reconstruction method
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  • Standard 12-lead ecg signal reconstruction method

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Embodiment Construction

[0032] The present invention will be further described below in conjunction with the accompanying drawings.

[0033] refer to figure 1 with figure 2 , a standard 12-lead ECG signal reconstruction method, the number of known leads used for reconstruction is m, m=3,4,...,7, denoted as the reconstructed lead group A={L 1 , L 2 ,...,L m}, the two leads in A are randomly selected from I, II, III of the limb leads I, II, III, aVR, aVL and aVF, and the other (m-2) leads in A are selected from the chest lead V1 , V2, V3, V4, V5 and V6 are randomly selected; the remaining four limb leads to be reconstructed form the limb lead group B={L m+1 , L m+2 , L m+3 , L m+4}, the remaining (8-m) chest leads to be reconstructed form the chest lead group C={L m+5 , L m+6 ,...,L 12}; the reconstruction method includes the following steps:

[0034] a) The signal reconstruction of limb lead group B adopts the formula calculation method, the formula is as follows:

[0035] I-II+III=0

[...

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Abstract

Provided is a standard 12-lead ecg signal reconstruction method. Limb lead signals are reconstructed through formula computing, chest lead signals are reconstructed through a nonlinear method of a BP neural network optimized based on a genetic algorithm; according to the nonlinear method, firstly, the optimal initial weight value and threshold value solution space of the BP neural network is looked for through a genetic algorithm, and serves initial setting of the BP neural network; next, the lead signals used for reconstruction serve as input of the BP network, reconstruction target lead serves as output for training, a known lead set is input into a trained network, and an unknown lead construction result can be obtained. The standard 12-lead ecg signal reconstruction method is high in accuracy.

Description

technical field [0001] The invention relates to the field of biological signal processing, in particular to a standard 12-lead ECG signal reconstruction method. Background technique [0002] Heart disease has always been one of the biggest killers of human health. According to the latest report of the World Health Organization, in the past ten years, the proportion of ischemic heart disease in the global cause of death has always been more than 10%, and it has become more and more serious with the aggravation of the aging society. Heart disease has become the focus of medical and health research because of its high morbidity and mortality. The real-time monitoring of electrocardiogram is the preferred technical means for diagnosis and early warning of heart disease. The electrocardiograph used in the hospital can measure the complete standard 12-lead ECG signal at the same time, but it needs 10 poles to be pasted on the human body to collect and record at the same time. It...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/02G06N3/12A61B5/0402
Inventor 潘赟陈方剑李珂朱怀宇李娟王吉轩
Owner 杭州质子科技有限公司
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